Senior Specialist - Data Engineering
Job description
Mandatory Certification in Databricks Certified Associate Developer for Apache Spark Data Pipeline Development Maintenance Design build and maintain highly scalable and efficient ETLELT data pipelines utilizing Py. Spark and Spark SQL for complex data transformations Cloud Data Infrastructure Management Deploy manage and scale critical data infrastructure components on leading cloud platforms such as Amazon Web Services AWS eg EMR Glue Microsoft Azure eg Databricks Synapse or Google Cloud Platform GCP Data Warehousing Storage Optimization Strategically manage data layout partitioning and indexing within Apache Hive and various cloud data lake solutions to optimize performance and accessibility Performance Tuning Optimization Proactively identify and resolve performance bottlenecks in Spark jobs leveraging Spark UI for indepth analysis effectively managing data skewness and optimizing memory utilization Diverse Data Integration Develop robust solutions for ingesting highvolume and diverse datasets from both structured relational databases and unstructured flat files into our data ecosystem Automated Workflow Orchestration Implement and manage automated data workflows using industrystandard scheduling tools like Apache Airflow or platformnative schedulers ensuring timely and reliable data delivery Strategic Collaboration Partner closely with data scientists business analysts and crossfunctional enterprise teams to translate complex business requirements into technically sound and efficient data solutions
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